Triple
T23418225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gundestrup cauldron |
E560571
|
entity |
| Predicate | discoveredIn |
P3986
|
FINISHED |
| Object | Himmerland |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Himmerland | Statement: [Gundestrup cauldron, discoveredIn, Himmerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himmerland Context triple: [Gundestrup cauldron, discoveredIn, Himmerland]
-
A.
Himmerland
chosen
Himmerland is a large peninsula in northern Jutland, Denmark, known for its rural landscapes, coastal areas, and small towns.
-
B.
Hemmeland
Hemmeland is a small settlement in the Dutch municipality of Waterland, located in the province of North Holland in the Netherlands.
-
C.
Skaland
Skaland is a small coastal village on the island of Senja in northern Norway, known for its scenic fjord landscape and proximity to rugged mountains.
-
D.
Kvernaland
Kvernaland is a village in Rogaland county, Norway, known for its agricultural machinery industry and proximity to the city of Stavanger.
-
E.
Søndre Lænding
Søndre Lænding is the term for a resident or native of the Norwegian municipality of Søndre Land.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5438ac08190a40a3d6402794699 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:39 p.m.